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from itertools import chain |
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import pytest |
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from datasets import load_dataset |
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def test_streaming_dataset(): |
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datasets = load_dataset("./mc4_nl_cleaned.py", "tiny", streaming=True) |
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assert list(datasets.keys()) == ["train", "validation"] |
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train_ds = datasets["train"] |
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val_ds = datasets["validation"] |
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i = iter(train_ds) |
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e = next(i) |
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assert len(e["text"]) == 1264 |
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e = next(i) |
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assert len(e["text"]) == 1091 |
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assert sum(1 for _ in iter(val_ds)) == 16189 |
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def test_batch_dataset(): |
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datasets = load_dataset( |
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"./mc4_nl_cleaned.py", |
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"micro", |
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) |
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assert list(datasets.keys()) == ["train", "validation"] |
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train_ds = datasets["train"] |
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val_ds = datasets["validation"] |
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e = next(iter(train_ds)) |
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assert len(e["text"]) == 1264 |
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assert train_ds.num_rows == 125938 |
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assert val_ds.num_rows == 16189 |
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def test_nl_en(): |
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datasets = load_dataset( |
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"./mc4_nl_cleaned.py", |
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"micro_en_nl", |
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) |
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assert list(datasets.keys()) == ["train", "validation"] |
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train_ds = datasets["train"] |
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val_ds = datasets["validation"] |
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i = iter(train_ds) |
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e = next(i) |
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assert len(e["text"]) == 1264 |
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e = next(i) |
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assert len(e["text"]) == 747 |
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assert train_ds.num_rows == 251900 |
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assert val_ds.num_rows == 32378 |
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